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Data Scientist Resume Samples (Text format)

About Me

Data Scientist

  • Extensive experience of XX years in developing predictive systems and creating efficient algorithms to improve data quality; identifying, evaluating, designing, and implementing statistical analyses of gathered data to create analytic metrics and tools
  • Skilled in designing, building, and deploying data analysis systems for large data sets; creating algorithms to extract information from large data sets; establishing efficient, automated processes for model development, validation, implementation, and large-scale data analysis
  • Strong problem-solving skills with an emphasis on product development; experience working with and creating data architectures; knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications; creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

EDUCATION

Computer, Bachelor of Education, Completed, 2001-03-01

Hindu College

Marks 70, Division I

New Delhi,

Work Experience

2012-02-01 - Current

Data Scientist / Lead Data Scientist

Unilever

Mumbai, MH
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Develop, manage, and maintain Machine Learning infrastructure
  • Utilize Natural Language Processing between users, stylists, and products.
  • Research, develop, plan, and implement the predictive algorithm
  • Use various regression and other data analysis techniques and methods
  • Work with other team members to build upon our data collection, storage, and processing infrastructure
  • Stay motivated to actively engage with customers
  • Motivation and drive to seek out new projects and sales opportunities

2008-02-01 - 2011-02-01

Data Scientist

Paytm Labs

Mumbai, MH
  • Identified valuable data sources and automated collection processes
  • Undertook to preprocess of structured and unstructured data
  • Analyzed large amounts of information to discover trends and patterns
  • Built predictive models and machine-learning algorithms
  • Combined models through ensemble modeling
  • Presented information using data visualization techniques
  • Proposed solutions and strategies to business challenges
  • Collaborated with engineering and product development teams

Skills

  • Statistical Analysis
  • Computing
  • Machine Learning
  • Deep Learning
  • Processing large data sets
  • Data Visualization
  • Data Wrangling
  • Mathematics
  • Programming
  • Data Mining
  • Data Extraction

Languages

  • Gujarati
  • English
  • Hindi
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Data Scientist Resume Sample

Data Scientist Resume Sample
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